Literature DB >> 34232637

Taming the Sign Problem in Auxiliary-Field Quantum Monte Carlo Using Accurate Wave Functions.

Ankit Mahajan1, Sandeep Sharma1.   

Abstract

We explore different ways of incorporating accurate trial wave functions into free projection auxiliary-field quantum Monte Carlo (fp-AFQMC). States employed include coupled-cluster singles and doubles, multi-Slater, and symmetry-projected mean-field wave functions. We adapt a recently proposed fast multi-Slater local energy evaluation algorithm for fp-AFQMC, making the use of long expansions from selected configuration interaction methods feasible. We demonstrate how these wave functions serve to mitigate the sign problem and accelerate convergence in quantum chemical problems, allowing the application of fp-AFQMC to systems of substantial sizes. Our calculations on the widely studied model Cu2O22+ system show that many previously reported isomerization energies differ substantially from the near-exact fp-AFQMC value.

Entities:  

Year:  2021        PMID: 34232637     DOI: 10.1021/acs.jctc.1c00371

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  1 in total

1.  Unbiasing fermionic quantum Monte Carlo with a quantum computer.

Authors:  William J Huggins; Bryan A O'Gorman; Nicholas C Rubin; David R Reichman; Ryan Babbush; Joonho Lee
Journal:  Nature       Date:  2022-03-16       Impact factor: 69.504

  1 in total

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